The posting
Uniphore is the Business AI company. Our sovereign, composable and secure AI platform connects enterprise data, fine-tunes AI models and deploys agentic AI across the enterprise. We empower every worker to boost productivity and help businesses grow faster, operate smarter and reduce costs. Trusted by more than 2,000 businesses globally, and recognized on the Deloitte Fast 500, Uniphore delivers on the promise of AI as a transformative force for business.
Job Description:
Uniphore, a global Business AI technology company, is seeking an experienced Senior Sales Engineer to join its high-performance Sales Engineering team to support its customer and strategic partners in Palo Alto, CA. As a Senior Sales Engineer, you will be a trusted technical advisor and strategic partner to our enterprise clients. You’ll collaborate closely with account executives, product management, and engineering to demonstrate the power of Uniphore’s Business AI Cloud platform - helping Fortune 1000 organizations design, prototype, and deploy intelligent AI systems that drive measurable business outcomes. You’ll lead the technical sales cycle from discovery to proof of concept, translating complex enterprise challenges into transformative AI solutions that showcase Uniphore’s innovation, scalability, and value.
Team Charter and/or Mission: Our mission is to become trusted advisors to the clients and partners we work with, while advocating Uniphore’s AI platform. The sales engineering organization bridges our cutting-edge AI technologies with customer business outcomes—designing, showcasing, and delivering solutions that accelerate adoption, drive growth, and ensure customer success across industries and geographies. We will keep our client’s interests in the forefront while solving unique business problems harnessing the power of Uniphore’s AI platform and pre-built solutions.
Key Responsibilities
- Act as the technical lead in the sales cycle, partnering with Account Executives to drive enterprise opportunities from qualification to close.
- Have a perspective on how AI can drive value in Enterprises and understand the power of language models and agents to impact business value across verticals and business functions.
- Understand customer pain points in driving and implementing AI solutions.
- Deliver compelling technical presentations, demos showcasing GenAI, Agentic AI, RAG, and LLM-based solutions.
- Build and deliver custom demos and POCs to validate business value and technical feasibility.
- Conduct discovery sessions with key business and technical stakeholders to uncover needs, pain points, and desired outcomes.
- Translate business requirements into AI solution architectures that leverage Uniphore’s capabilities, collaborating with product and engineering teams.
- Respond to RFPs/RFIs with detailed technical responses and solution designs.
- Advise clients on AI adoption strategies, integration with multi-modal data platforms, and industry best practices.
- Contribute to a culture of technical excellence, customer obsession, and innovation.
- Build and maintain deep domain expertise in AI trends, competitor offerings, and the evolving landscape of agentic applications and enterprise AI adoption.
Skills and Qualifications
- 6+ years of experience in pre-sales, solution engineering, or technical consulting – preferably within enterprise Data and SaaS, AI, or automation platforms.
- Hands-on understanding of AI concepts: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, Agentic AI architectures, AI security and governance, and ethical AI
- Experience designing or selling AI platforms, data orchestration, or enterprise automation solutions.
- Expertise in major Cloud Platforms: Demonstrated understanding of cloud computing principles and architecture, particularly as they relate to deploying and scaling enterprise AI/SaaS solutions (e.g., AWS, Azure, or GCP). This includes familiarity with core services like compute, storage, networking, and serverless functions.
- Solid Understanding of API Integration and Security: Practical experience with designing, integrating, and securing API connections between AI platforms and underlying business applications (e.g., CRM, ERP, data warehouses). Knowledge of protocols (e.g., REST, GraphQL) and authentication mechanisms (e.g., OAuth 2.0, API keys) is essential.
- Data and Network Architecture Acumen: Ability to discuss and propose solutions regarding data governance, network segmentation, and enterprise security requirements when deploying cloud-native or hybrid AI solutions.
- Strong ability to explain technical concepts to both technical and non-technical stakeholders.
- Proven track record supporting enterprise sales cycles and closing large deals.
- Excellent communication, presentation, and stakeholder management skills with the ability to engage with all levels within large enterprises, from C-suite to technician.
- Strong problem-solving and storytelling skills—able to connect AI capabilities to strategic business outcomes.
- Ability to travel as needed for client engagements.
Hiring Range: $175,000 - $240,000 OTE. Actual compensation will be determined based on factors including skills, experience, qualifications, and location.
Hiring Pay Range:
$175,000 - $218,700
Benefits:
In addition to competitive base pay, this position also includes an annual incentive opportunity based on target achievement, pre-IPO stock options, benefits including medical, dental, vision, 401(k) with a match, and more, plus generous paid time off, paid holidays, paid day off for your birthday and other paid leave policies to support employees through all phases of life.
Location preference:
USA - CA - Palo Alto
Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.
